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先进的机器学习模型用于预测克罗恩病,增强了殖民地优化

Xixi He1, Huajun Ye1, Rui Zhao1

  • 1Department of Gastroenterology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.

Computers in biology and medicine
|July 3, 2023
PubMed
概括

一个新的模型,bIACOR-KELM-FS,准确地预测克罗恩氏病的活性和缓解. 这种先进的方法提高了诊断的解释性,为临床使用提供了有前途的工具.

关键词:
殖民地优化殖民地优化克罗恩氏病 克罗恩氏病是什么?功能选择 功能选择核心极端学习机器学习的核心.预测 预测 预测

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